Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images

Mineral classification using hyperspectral imaging represents an essential field of research improving the understanding of geological compositions. This study presents an advancedmethodology that uses an optimized 3D-2D CNNmodel for automatic mineral identification and classification. Our approach...

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Egile Nagusiak:	Attallah Youcef, Zigh Ehlem, Adda Ali Pacha
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Sciendo 2024-12-01
Saila:	Reports on Geodesy and Geoinformatics
Gaiak:	hyperspectral imaging mineral identification optimized 3d-2d cnn diagnostic absorption band feature extraction
Sarrera elektronikoa:	https://doi.org/10.2478/rgg-2024-0017
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